Face-recognition-app-using-Streamlit

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Face-recognition-app-using-Streamlit

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Face recognition web app using face-recognition library and Streamlit

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# Face recognition app using Streamlit

This is a face recognition application built using Python, [Face-Recognition API](https://github.com/ageitgey/face_recognition) and Streamlit framework. The app allows users to upload an image containing faces and performs face recognition using the face recognition library.

## Features

- Face detection and recognition
- Multi-face recognition
- Option to display recognized faces
- User-friendly interface

## Requirements 
- Python 3.9
- Streamlit 1.22.0
- face_recognition

## Repository structure
```bash
├───dataset
│   │───ID_Name.jpg
│   │───...
├───pages
│   ├───1_🔧_Updating.py
│   └───2_💾_Database
├───Tracking.py
│───utils.py
├───config.yaml 
├───requirements.txt
├───packages.txt
└───README.md
```

## Description
- **dataset**: contains images of people to be recognized. The file name format is ID_Name.jpg. `For example, 1_Elon_Musk.jpg, 2_Jenna_Ortega.jpg, 3_Bill_Gates.jpg, etc.` It is freely to use jpg, jpeg or png format.
- **pages**: contains the code for each page of the app. If you want to add more pages, you can create a new file which format is `Order_Icon_Pagename` in this folder, or just no-icon page with format `Order_Pagename`.
- **Tracking.py**: home page of the app, using for tracking real-time using webcam and picture.
- **utils.py**: contains the functions utilized by the app.
- **config.yaml**: contains the configuration for the app such as path of dataset dir and prompt messages.
- **requirements.txt**: contains the dependencies for the app.
- **packages.txt**: contains the packages for the app used to deploy on Streamlit Cloud.

## Installation
1. Clone the repository
```bash
git clone https://github.com/datct00/Face-recognition-app-using-Streamlit.git
cd Face-recognition-app-using-Streamlit
```

2. Install the dependencies
```bash
pip install -r requirements.txt
```

3. Run the app
```bash
streamlit run Tracking.py
```

## Usage
1. Tracking real-time using webcam 
2. Tracking using a image file 
3. Updating database (adding, deleting and updating)
4. Viewing the database

## Demo

1.  Tracking using camera
![Tracking using webcam](https://raw.githubusercontent.com/datct00/Face-recognition-app-using-Streamlit/main/assets/webcam.gif)

2. Tracking using picture 
![Tracking using picture](https://raw.githubusercontent.com/datct00/Face-recognition-app-using-Streamlit/main/assets/tracking.png)

3. Adding new person to database
![Adding new person to database](https://raw.githubusercontent.com/datct00/Face-recognition-app-using-Streamlit/main/assets/adding.png)

4. Deployed app on Streamlit Cloud. [Click here](https://datct00-face-recognition-app-using-streamlit-tracking-sel9ym.streamlit.app/) to watch a demo of the app.

## Contact
If you have any questions, feel free to contact me via email: `chungtiendat8102000@gmail.com`

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